Daniel King
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Daniel King Email & Phone Number

Applied Scientist at Amazon
Location: Seattle, Washington, United States 9 work roles 2 schools
1 work email found @washington.edu LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email

Work email d****@washington.edu
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Current company
Role
Applied Scientist
Location
Seattle, Washington, United States
Company size

Who is Daniel King? Overview

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Quick answer

Daniel King is listed as Applied Scientist at Amazon, a company with 734811 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at washington.edu and a matched LinkedIn profile for Daniel King.

Daniel King previously worked as Computer Vision Engineer - Machine Learning at Radiusai, Inc. and Graduate Research Assistant - Computer Vision at University Of Washington. Daniel King holds Master'S Degree, Electrical And Computer Engineering from University Of Washington.

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Email format at Amazon

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{first_initial}{last}@washington.edu
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AeroLeads found 1 current-domain work email signal for Daniel King. Compare company email patterns before reaching out.

Profile bio

About Daniel King

Computer Vision Engineer at Radius AI.Areas of interest: Computer Vision, AI, Machine Learning, SoftwareExperienced in Computer Vision, Software Development, Data Science, Product Management-Skills: Pytorch, TensorRT, Python, Rust, Academic Research, -Education: MS in Electrical Engineering at the University of Washington

Current workplace

Daniel King's current company

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Amazon
Amazon
Applied Scientist
Seattle, WA, US
Website
Employees
734811
AeroLeads page
9 roles

Daniel King work experience

A career timeline built from the work history available for this profile.

Applied Scientist

Seattle, WA, US

Computer Vision Engineer - Machine Learning

Current

Bellevue, Washington, United States

-Key Researcher and Engineer for Shopassist camera-based retail checkout device-Lead development to create, optimize, and deploy deep learning models capable of detecting and classifying thousands of products to high degree of accuracy with sub-second inference time

Jul 2022 - Present

Graduate Research Assistant - Computer Vision

I partnered with Seattle Children’s hospital to develop video editing tool that summarized 14-hour surgeries into 5 minute video using AI and machine learning.-Researched and built Machine Learning models using Python/PyTorch for automatic video editing application-Performed frame-by-frame image classification using Convolutional Neural Networks-Analyzed.

Sep 2021 - Jun 2022

Spg Electrical Engineering Intern

Internship in Autonomous Systems-Built effective team-specific Design Failure Modes Engineering Analysis (DFMEA) methodology and showcased to Engineering Director-Led Hardware, Product Design, Software, and Reliability groups through first major iteration of failure analysis process, identifying hardware risks and providing solutions-Performed deep-dive.

Jun 2021 - Sep 2021

Graduate Teaching Assistant

Seattle, Washington, United States

-Provided Mentorship to 14 teams in the Electrical Engineering Capstone Design course -Project Focus included Hardware design, Computer Vision, Control Theory, and Software Development

Jan 2021 - Jun 2021

Project Lead - Chassis Design

-Managed the work product of 10 design sections within chassis for several vehicle developments-Acted as liaison between chassis engineers and senior management-Drove Project schedules and ensure timely and effective development-Led Cross-Functional aspects of vehicle design both within chassis and by leveraging outside technical groups

Mar 2020 - Sep 2020

Mechanical Design Engineer

-Led exhaust system development on Honda Ridgeline, Acura NSX, TLX, and RDX-Optimized system design for cost, weight, and performance-Managed US, Japanese, Chinese, and European suppliers to guarantee smooth development-Created test plan and procedures to verify design principles-Directed Contingent staff as necessary to optimize workflow-Issued production.

Jun 2014 - Sep 2020

Design Engineering Intern

Raymond, OH

-Developed simulation tools to aid designers, focusing on ABAQUS structural simulation

Jan 2013 - Jul 2013

Corrosion Engineering Intern

Dnv Gl

Columbus, Ohio

-Constructed a sensor array and data acquisition setup for on-site corrosion experimentation

Jun 2012 - Aug 2012
Team & coworkers

Colleagues at Amazon

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2 education records

Daniel King education

Bachelor'S Degree, Mechanical Engineering, 3.84/4.0

Activities and Societies: Senior Project - Autonomous Robot -Performed all electrical, programming, and CAD aspects of Robot Design.

FAQ

Frequently asked questions about Daniel King

Quick answers generated from the profile data available on this page.

What company does Daniel King work for?

Daniel King works for Amazon.

What is Daniel King's role at Amazon?

Daniel King is listed as Applied Scientist at Amazon.

What is Daniel King's email address?

AeroLeads has found 1 work email signal at @washington.edu for Daniel King at Amazon.

Where is Daniel King based?

Daniel King is based in Seattle, Washington, United States while working with Amazon.

What companies has Daniel King worked for?

Daniel King has worked for Amazon, Radiusai, Inc., University Of Washington, Apple, and Honda R&D Americas, Inc..

Who are Daniel King's colleagues at Amazon?

Daniel King's colleagues at Amazon include Tim Gallimore, Kerem Encu, Ayuk Francis, María García De Castro, and Nagini Sreeramulu.

How can I contact Daniel King?

You can use AeroLeads to view verified contact signals for Daniel King at Amazon, including work email, phone, and LinkedIn data when available.

What schools did Daniel King attend?

Daniel King holds Master'S Degree, Electrical And Computer Engineering from University Of Washington.

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